Our Keynote Panel brings together three Gold Medal Olympians to discuss how they overcame personal challenges and use data to achieve success at the highest levels of sport.

Moderated by Clare Balding, the conversation will delve into how data analytics has transformed their training and competition strategies. They’ll share insights on how data is used across different sports to optimize performance and gain a competitive edge. The discussion will highlight the balance between analytical approaches and the instinctive, experiential aspects of competition.

Attendees will hear inspiring stories of triumph over adversity and gain a deeper understanding of how data is driving success in elite sports today. 

This session offers valuable perspectives on the future of sports analytics and its impact on athletic performance.

This session looks at the ever-increasing demand for data and AI, the current challenges slowing development and how companies can overcome these challenges and shorten time to value using generative AI and open tables like Apache Iceberg. It also looks at how this approach makes it possible to transitioning away from siloed analytical systems to a modern data architecture where multiple teams can create reusable data products across multiple clouds and op-premises environments using generative AI in Data Fabric and share that data across multiple analytical workloads. 

Everything has changed in the last year with Generative AI entering onto the scene. This means a re-shuffling of priorities and budgets, putting AI-enabled Data & Analytics right back at the top of the agenda. In this session we will discuss: 

• That there is no Generative AI without data – but it has to be the right data 

• The importance of being able to bring together organised and trusted data 

• Why your data integration strategy is the foundation to successfully using AI

Other than people, Data is Policing’s biggest asset. With Data being managed differently across Forces how does Policing understand what Data it has and how it is being utilised to support Policing’s objectives? Join Aimee Smith and Kate Boyle to discover how the National Police Data & Analytics Board and PDS successfully delivered Data Maturity assessments across 43 Forces on behalf of the National Police Chief’s Council.

Every day, banking institution Capital on Tap is calculating thousands of credit scores, directly impacting how their customers receive credit cards or additional lines of credit. Data quality is paramount – incorrect credit scores can set off a wide range of long-lasting financial implications for their customers, which is why the team turned to data observability with Monte Carlo, to improve their data – and credit score – reliability. 

But, as with any new tool in your tech stack, onboarding new processes for key users is just as important as onboarding the tool itself. 

Join this session with Ben Jones and Soren Rehn, to hear why the Analytics Engineering team at Capital on Tap decided to invest in a data observability tool, how their processes play a critical role in maximizing the tool’s value (including a few missteps and recalibrations along the way), and the strategies employed to garner widespread success and buy-in over time.

The introduction of Generative AI in the enterprise heralds a new era of advanced analytics and operational efficiency. By harnessing the sophisticated capabilities of Gen AI, businesses can significantly accelerate their decision-making processes and empower their employees across multiple dimensions. Gen AI enables intricate data analysis, natural language processing, and decision-making with just a few prompts, facilitating faster innovation and competitive advantage.

However, implementation and optimization of Gen AI for enterprise analytics use cases present several challenges. Gen AI is hard to put into production, due to the complexities associated with data integration and secure data access. Additionally, enterprises struggle to tune and deliver consistently high quality and compelling responses to AI-driven questions.

Join this session to learn how implementing a data fabric can help accelerate time to value and enable Generative AI.

The next big innovation in data management after separation of compute and storage is the open table formats. These formats have truly commoditized storage, allowing you to store data anywhere and run multiple compute workloads without vendor lock-in. This innovation addresses the biggest challenges of cloud data warehousing — performance, usability, and high costs—ushering in the era of the data lakehouse architecture.

In this session, discover how an AI-powered data lakehouse:

• Unlocks data for modern AI use cases

• Enhances performance and enables real-time analytics

• Reduces total cost of ownership (TCO) by up to 75%

• Delivers increased interoperability across the entire data landscape

Join us to explore how the integration of AI with the lakehouse architecture can transform your approach to data management and analytics.

PrimaryBid is on a mission to improve the global IPO market by allowing frictionless participation to more investors than ever before. Central to achieving this mission is the ability to deliver real-time data analytics to a range of audiences. Join us as we discuss our journey to building a best-in-class embedded analytics solution. From dissecting what it means to be best-in-class in 2024, through to identifying constraints and choosing the right technology partners - we?ll provide a how-to, and how-not-to, on creating a premium analytics experience. In an industry where speed, aesthetics, reliability, security, and governance are paramount, discover how we optimize across all dimensions. The session includes a comprehensive overview of our progress to date and a live demonstration showcasing our product in action.

For over three decades we have been powering people and businesses to think and behave differently. In this session, we will share our insights into how you can build the right data culture, by SEEing the value of data through three key pillars: Sponsorship, Education, and Embedding. Detail ? Data helps us to make better, more informed decisions ? and the role of data should not be considered as an ?add-on? to existing capabilities but something that underpins all of those capabilities. Organisations need to understand that this is not just an incremental, evolutionary shift that gives better access to data and richer visualisation ? but something truly transformative when a strong data culture is embedded, alongside elements such as predictive analytics and artificial intelligence. We will discuss with attendees: The importance of adopting a ?shift left? mindset to the use of data in understanding problems, and the designing, developing, testing and operating of solutions. The criticality of investing in culture, which has a disproportionately positive impact on the success of data transformation programmes. The success which can be achieved by following the SEEing model: ~ Sponsorship means demanding better data in order to make better decisions from the Board downwards, and equipping sponsors of business and change programmes to seek and know how to use the right data to deliver better outcomes. ~ Education means helping people understand the value that data can give them; driving demand for data and helping people to see that it should be a foundation in everything they do. ~ Embedding means making data experts integral to teams, in a similar way that DevOps brought operational staff into development teams, which helps to build up understanding and trust between data experts and data users/beneficiaries, increasing domain knowledge in data experts and data/analytics knowledge in the rest of the team. The session will conclude with Q+A.

Join Scott Gamester as he challenges the outdated promises of legacy BI and self-service analytics tools. This session will explore the key issues that have hindered true data-driven decision-making and how modern solutions like Sigma Computing, Databricks, and Snowflake are redefining the landscape. Scott will demonstrate how integrating these platforms empowers business analysts, driving innovation at the edge and enabling AI-enhanced insights. Attendees will learn how these advancements are transforming business empowerment and fostering a new era of creativity and efficiency in analytics.

Imagine what's possible with social media analytics in a world of Generative AI: a whole new level of depth, speed and accuracy in understanding how your customers shop, how they work, how they live, and how they feel about key topics.

In this session, you’ll learn how to capture the context shaping your customers’ environment, emotions and behaviour, and to operationalize this across the enterprise for competitive advantage. Join Quid Founder and President Bob Goodson to discover how the biggest brands in the world are pioneering this new approach.

From its founding in 2023, Skyscanner has leveraged analytical data to optimise business and traveler experiences. And with more than 110 million monthly users resulting in 30+ billion analytical data events per day, Skyscanner is an expert at managing data at scale.

Join Michael Ewins, Director of Engineering at Skyscanner, to learn how his team develops and executes data strategies centered on their core principles of data reliability, trust and rapid data-driven decision making. Michael will dive into the challenges his team faces navigating complex lineage, strategies for effectively combating data incidents, how they simplified their analytics infrastructure for a more practical approach to data governance, and their success in implementing impactful ML and AI business-critical use cases.

Learn how AI is transforming the tech industry. 

Join us for a panel discussion where industry leaders will share insights on using AI to enhance business intelligence, drive innovation, and gain a competitive edge. 

Discover how AI can improve decision-making, personalise customer experiences, and boost operational efficiency. 

This session offers actionable insights for companies looking to harness the power of AI-enhanced analytics. 

Ready to elevate your data game? Join us for an exciting session with Shiv Nayak from EasyJet! Discover how they’re transforming their approach with cutting-edge technology—natural language search, AI, and GPT—to make data insights faster and more accessible than ever. In a fast-paced world where speed and clarity are crucial, see how EasyJet is staying ahead of the competition by turning data into a powerful, self-service tool that drives their success. Shiv will be joined by James Smith, VP EMEA at ThoughtSpot. Don’t miss this chance to learn from the leaders shaping the future of data.

In this insightful fireside chat, Yusen Logistics shares their transformative journey towards embedding a data-driven culture across their organisation, emphasising the pivotal role of analytics in their operational success. The discussion highlights the critical milestones, tools, and strategies that empowered Yusen to evolve from an initial finance automation use case to a company-wide data-driven powerhouse.

Key discussion points include how Yusen:

• Went from a centralised data analytics team to a decentralised model that empowered wider departments.

• Reduced reliance on IT to speed up decision making and scale across the organisation

• Leveraged Alteryx as a catalyst for change, gaining buy in from senior stakeholders and proving value quickly.

In the last decade data has served as a guide to learn from the past, make decisions in the present and the drive insights for the future. The Art of possible that ChatGPT demonstrated in 2023 Channeled investments towards improving data capabilities. Peer competition, emergence of challenger organisations, advance analytics has increased customer expectation and exerted increased pressure on data analysis and exploration . 

These increased expectations has translated into new way of working with data and has demanded teams to be more data driven. This has resulted in emergence of data risk. No matter the expectation there is always a boundary on what data can deliver and cannot deliver. This boundary is directly related to the original intent of data collection and organisational data policies, risk policies and risk appetite. As all part of the organisation touch data and it has become increasingly challenging to mitigate data risks. Acknowledging this major Banks have elevated data risk to Principle risk. This has allowed data office to have more control on how data is being used and accessed within an organisation and most importantly embed business accountability for data as required by most regulations such as BCBS239, GDRP expect. 

In this 30 minutes we will explore 

• What is Data Risk? 
• How to identify Data Risk and design Data Risk Taxonomy? 
• Who are the key stakeholders within an organisation responsible to mitigating data risk? 
• How to design risk appetite for Data Risk? 
• Explore how key data risk controls should look like?

Explore a transformative shift in healthcare with Ranjit Gill, CIO of the AAH (Hallo Healthcare Group) and Pete Lydon, Director Sales Engineering at Actian. This session highlights Hallo's adoption of a cloud-first strategy, effectively managing over 21 million billing entries and thousands of daily orders. Learn how cloud analytics has not only streamlined massive data flows but also significantly enhanced patient service delivery, establishing new benchmarks in healthcare efficiency and responsiveness.

Telenet, an affiliate of Liberty Global, is a market leading telecom known for its continuous customer-centric innovation using AI and data analytics. As an early adopter of Snowflake, they use data to drive cutting edge innovation such as hyper personalized customer services and privacy compliant data sharing with networking and broadcast partners. To further spur innovation, Telenet wants to make it easier for analysts and AI engineers to find and access data. In this session you will learn how Telenet is using Snowflake, AWS and Raito to give data analysts and AI engineers access to data in a fast and secure way.

For over a decade organisations have been managing their most valuable data assets with Cloudera. That means that the most valuable data under management has never been accessible to the latest wave of AI. Now is the time to unlock the potential of Enterprise AI. Let's make data more accessible than ever before, let's lower the bar to access and bring data, analytics and augmented business intelligence to the whole Enterprise.

While digital transformation has made data essential for growing and improving your business, influencing change still means winning your coworkers' and executives' hearts and minds. This requires more than dashboards and spreadsheets. In this session, Adam Greco, an analytics industry veteran, will share real-world stories of how organisations like Salesforce and others have combined analytics data and storytelling to influence change.

Travel Management Companies (TMCs) are specialist travel providers that manage the business travel requirements of corporations of all sizes. They book and manage air travel, hotel stays, car hire, rail and other trip components for companies with varying budgets, traveller populations, policy requirements and service expectations, and deliver value in being able to control travel spend through policy management (e.g. class of travel), profile management (e.g. individual preferences), traveller tracking and delivering centralised booking and invoicing solutions.  

A standard, linear model of data provision exists ubiquitously in the corporate travel industry whereby TMCs provide reporting to analyse and consolidate spend and adjust policy. Data is provided in standard formats, with little focus on specific customer questions and travel policy management is retrospective and antiquated. 

In this presentation, delegates will see how Take2Eton is re-engineering our data landscape. From what started as project to improve our reporting and analytics platform by centralising data using a low code, highly governed, adaptable platform, we have now built a booking app, policy engine, data management app and data consolidation tool from ground up, improving customer interaction with our data at all stages of the lifecycle.

This past year was one of technology’s most exciting with the emergence of generative AI, as leaders everywhere considered the possibilities it represented for their organisations.

While many have already recognised its value and are eager to continue innovating, others are inspired by its potential and are seeking ways to adopt it

To implement a successful AI analytics strategy, three key ingredients are essential: powerful AI models, clean data, and a data culture ready to leverage these solutions.

Join us as we examine the challenges and opportunities data leaders face in preparing their organisations for the AI era.

In this flagship Big Data LDN keynote debate, conference chair and leading industry analyst Mike Ferguson welcomes executives from leading software vendors to discuss key topics in data management and analytics. Panellists will debate the impact of Generative AI, the implications of key industry trends, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, how to manage, produce, share and govern data and AI, and issues on-the-horizon that companies should be planning for today.

Attendees will learn best practices for data and analytics implementation in a modern data-driven enterprise from seasoned executives and an experienced industry analyst in a packed, unscripted, candid discussion.

Data is transforming the world of work and creating new opportunities for individuals and organisations. However, to harness the power of data, one needs to develop the right skills and mindset. In this panel discussion, four experts from different sectors and backgrounds will share their insights and experiences on how to foster a culture of data-driven decision making and empower employees to use data effectively; how to identify and develop the technical, analytical, and soft skills that are essential for data professionals; how to address the talent gap and build a future-ready workforce that can leverage advanced analytics tools and techniques and how to leverage data skills to advance your career goals and create value for your organisation.

Join us as we unlock the secrets of data-driven strategies that drive profit, loyalty, and hyper-personalised experiences, with Capgemini and a Women in Data leadership panel.

At this year’s Big Data London, Women in Data & Capgemini are back with another must-see panel, featuring a diverse and engaging group of female data leaders and their allies from across the Retail & CPG worlds. Last year’s session was one of the most oversubscribed events of the day, with standing room only, thanks to its thought-provoking and honest discussions. This year’s panel promises the same dynamic as they tackle the conundrum of balancing margin focus with rewarding customer loyalty and how data plays a key role. 

The panellists, as well as sharing their own career journeys and experience, will explore how they’ve approached bold strategies that move beyond immediate profits to emphasise the long-term value of customer data and loyalty. They’ll explore how data, analytics & ai can uncover deep insights into customer behaviours and preferences, enabling brands to create personalised experiences and loyalty programs that boost engagement and build lasting trust. 

The discussion will highlight the importance of seeing customer data as a strategic asset. By investing in data collection and analysis, companies can identify trends, predict future behaviours, and tailor their offerings to meet evolving customer needs. This approach can drive repeat business and increase customer lifetime value, ultimately leading to higher margins over time. 

This year’s panel will explore the how data and boldness are key for a balanced strategy that blends margin management with a robust focus on customer loyalty. Using data smartly is key to achieving sustainable profit growth and strengthening brand loyalty. Don’t miss out on what promises to be an inspiring and insightful discussion!